Structure and pattern of social tags for keyword selection behaviors
Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ke, Hao-Ren [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Akadémiai Kiadó, Budapest, Hungary 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Scientometrics - Springer Netherlands, 1978, 92(2012), 1 vom: 10. Apr., Seite 43-62 |
|---|---|
| Übergeordnetes Werk: |
volume:92 ; year:2012 ; number:1 ; day:10 ; month:04 ; pages:43-62 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11192-012-0718-5 |
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OLC2033197883 |
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| 520 | |a Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed. | ||
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10.1007/s11192-012-0718-5 doi (DE-627)OLC2033197883 (DE-He213)s11192-012-0718-5-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Ke, Hao-Ren verfasserin aut Structure and pattern of social tags for keyword selection behaviors 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2012 Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed. Social tags Social network analysis Frequent-pattern tree CiteULike Chen, Ya-Ning aut Enthalten in Scientometrics Springer Netherlands, 1978 92(2012), 1 vom: 10. Apr., Seite 43-62 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:92 year:2012 number:1 day:10 month:04 pages:43-62 https://doi.org/10.1007/s11192-012-0718-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_11 GBV_ILN_22 GBV_ILN_754 GBV_ILN_4012 GBV_ILN_4193 AR 92 2012 1 10 04 43-62 |
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10.1007/s11192-012-0718-5 doi (DE-627)OLC2033197883 (DE-He213)s11192-012-0718-5-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Ke, Hao-Ren verfasserin aut Structure and pattern of social tags for keyword selection behaviors 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2012 Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed. Social tags Social network analysis Frequent-pattern tree CiteULike Chen, Ya-Ning aut Enthalten in Scientometrics Springer Netherlands, 1978 92(2012), 1 vom: 10. Apr., Seite 43-62 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:92 year:2012 number:1 day:10 month:04 pages:43-62 https://doi.org/10.1007/s11192-012-0718-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_11 GBV_ILN_22 GBV_ILN_754 GBV_ILN_4012 GBV_ILN_4193 AR 92 2012 1 10 04 43-62 |
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10.1007/s11192-012-0718-5 doi (DE-627)OLC2033197883 (DE-He213)s11192-012-0718-5-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Ke, Hao-Ren verfasserin aut Structure and pattern of social tags for keyword selection behaviors 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2012 Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed. Social tags Social network analysis Frequent-pattern tree CiteULike Chen, Ya-Ning aut Enthalten in Scientometrics Springer Netherlands, 1978 92(2012), 1 vom: 10. Apr., Seite 43-62 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:92 year:2012 number:1 day:10 month:04 pages:43-62 https://doi.org/10.1007/s11192-012-0718-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_11 GBV_ILN_22 GBV_ILN_754 GBV_ILN_4012 GBV_ILN_4193 AR 92 2012 1 10 04 43-62 |
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Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed. © Akadémiai Kiadó, Budapest, Hungary 2012 |
| abstractGer |
Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed. © Akadémiai Kiadó, Budapest, Hungary 2012 |
| abstract_unstemmed |
Abstract This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed. © Akadémiai Kiadó, Budapest, Hungary 2012 |
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Structure and pattern of social tags for keyword selection behaviors |
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Chen, Ya-Ning |
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2024-07-03T16:05:31.145Z |
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